Výsledky vyhledávání - "Nilesh Rathod"

Akademický článek

Optimizing neural network based on cuckoo search and invasive weed optimization using extreme learning machine approach

Publikováno v: Neuroscience Informatics, Vol 2, Iss 3, Pp 100075- (2022)

Extreme Learning Machine (ELM) is widely known to train feed forward network with high speed and good generalization performance. The only problem associated with ELM is required higher number of hidden neurons due to random selection. In this paper

Externí odkaz: https://doaj.org/article/cb2e71fb87ac45a787b2b7d2ab46a388

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Akademický článek

Review of Optimization in Improving Extreme Learning Machine

Autor: Nilesh Rathod, Sunil Wankhade

Publikováno v: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 8, Iss 28 (2021)

Now a days Extreme Learning Machine has gained a lot of interest because of its noteworthy qualities over single hidden-layer feedforward neural networks and the kernel functions. Even if ELM has many advantages, it has some potential shortcomings su

Externí odkaz: https://doaj.org/article/5e36c10a33434fc09c2128b65e077c8f

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Encapsulation of dipeptidyl peptidase‐IV inhibitory peptides from alpha‐lactalbumin extracted from milk of Gir cows – A Bos indicus species

Autor: Swapnil Ramrao Patange, Latha Sabikhi, Prashant Ashok Shelke, Nilesh Rathod, Abdul Hussain Shaik, Yogesh Khetra, Sathish Kumar M H

Publikováno v: International Journal of Dairy Technology. 75:575-587

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::022bedfcab2b1eeeb374010285f45357
https://doi.org/10.1111/1471-0307.12882

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Fruit and Quality Detection System to Assist People with Down Syndrome

Autor: Leenakshi Poudwal, Prof. Nilesh Rathod, Prathamesh Kagane, Niraj Shirkar

Publikováno v: International Journal for Research in Applied Science and Engineering Technology. 10:392-397

Fruit classification using a Deep Convolutional Neural Network (CNN) is a promising application of computer Vision in this AI-driven decade. Fruit Recognition has been gaining attraction in recent years due to its application in agriculture and food

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ff14a290f66082390db3997de58b6e6
https://doi.org/10.22214/ijraset.2022.42204

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Quality Analysis of Extreme Learning Machine based on Cuckoo Search and Invasive Weed Optimization

Autor: Nilesh Rathod, Sunil Wankhade

Publikováno v: EAI Endorsed Transactions on AI and Robotics. 1:1-13

This paper explicates hybrid optimization driven Extreme Machine Learning (ELM) strategy is developed with feed forward neural network (FFNN) for the classification of data and improving ELM. The pre-processing of input data is carried for the missin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04642db043be20c490ee00829a80b798
https://doi.org/10.4108/airo.v1i.383

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Investigation of optimized ELM using Invasive Weed-optimization and Cuckoo-Search optimization

Autor: Nilesh Rathod, Sunil Wankhade

Publikováno v: Nonlinear Engineering. 11:568-581

In order to classify data and improve extreme learning machine (ELM), this study explains how a hybrid optimization-driven ELM technique was devised. Input data are pre-processed in order to compute missing values and convert data to numerical values

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f2fd8dd67d19adb83561b5347c632e7
https://doi.org/10.1515/nleng-2022-0257

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